# Copyright 2018 The TensorFlow Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

"""Tests for config_util.py."""

from __future__ import absolute_import
from __future__ import division
from __future__ import print_function

import tensorflow as tf

from astronet.util import config_util


class ConfigUtilTest(tf.test.TestCase):

  def testUnflatten(self):
    # Empty dict.
    self.assertDictEqual(config_util.unflatten({}), {})

    # Already flat dict.
    self.assertDictEqual(
        config_util.unflatten({
            "a": 1,
            "b": 2
        }), {
            "a": 1,
            "b": 2
        })

    # Nested dict.
    self.assertDictEqual(
        config_util.unflatten({
            "a": 1,
            "b.c": 2,
            "b.d.e": 3,
            "b.d.f": 4,
        }), {
            "a": 1,
            "b": {
                "c": 2,
                "d": {
                    "e": 3,
                    "f": 4,
                }
            }
        })


if __name__ == "__main__":
  tf.test.main()
